NICKO MAGNAYE | Energy | Outstanding Scientist Award | 13511

Prof. NICKO MAGNAYE | Energy | Outstanding Scientist Award 

Prof. NICKO MAGNAYE, Mindoro State University, Philippines

Prof. Nicko A. Magnaye, MSIT, is an Assistant Professor at the College of Computer Studies, Mindoro State University, Philippines. With a Master’s in Information Technology from Rizal Technological University and doctoral studies at the Technological Institute of the Philippines, his research focuses on applying IT to agriculture, education, energy, and local industries. He has authored 17 research publications and led projects on AI-driven fruit grading, pest detection, e-commerce for farmers, and ICT tools for rural development, showcasing his dedication to socially impactful and technology-driven innovation.

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Prof. Nicko A. Magnaye’s journey into the world of information technology began with a solid foundation in the Philippines’ education system. He earned his Bachelor’s degree in Information Technology from Mindoro State University, where he developed a strong interest in the practical applications of computing technologies in real-world environments. Driven by a passion to deepen his knowledge, he pursued a Master of Science in Information Technology at Rizal Technological University between 2015 and 2019. During his postgraduate studies, Prof. Magnaye focused on the intersection of software systems and their utility in solving community-based challenges.

Currently, he is advancing his academic credentials by undertaking Doctor of Information Technology studies at the Technological Institute of the Philippines, further cementing his expertise in IT and its applications across diverse sectors.

💼 Professional Endeavors

As an Assistant Professor at the College of Computer Studies at Mindoro State University, Prof. Magnaye plays a vital role in shaping the next generation of IT professionals. His teaching extends beyond theoretical concepts, emphasizing practical skills in computer programming, artificial intelligence (AI), mobile development, cybersecurity, and cloud computing. His instructional style combines innovation and social relevance, encouraging students to explore how technology can be used to solve local and global problems.

In parallel with his academic responsibilities, Prof. Magnaye actively contributes to institutional digital transformation and research capacity-building, often collaborating with other academic and industry stakeholders. His role is not limited to the classroom — he serves as a mentor, research adviser, and technology advocate within and beyond the university.

🧪 Contributions and Research Focus

With 17 research publications to his name, Prof. Magnaye’s work is marked by a deep commitment to technological solutions for grassroots issues. His research spans several interdisciplinary domains, with core themes including:

  • AI-powered agriculture: Developing intelligent systems such as fruit grading tools and disease detection applications for banana farming.

  • ICT in farming and rural development: Creating e-commerce platforms for furniture makers and rice farmers, and introducing monitoring tools for poultry and electricity usage.

  • Digital inclusion and social good: Building systems that support senior citizens and enhancing cybersecurity awareness in public sectors.

His efforts are firmly anchored in community-responsive innovation, often involving collaboration with local farmers, small businesses, and institutions seeking digital empowerment.

🏅 Accolades and Recognition

While specific national or international awards have not been listed publicly, Prof. Magnaye’s work has earned him widespread recognition within academic and local innovation circles. His successful research projects, many of which are deployed or tested in real-life settings, speak volumes about his effectiveness and value as a community-centered technologist.

Moreover, his initiatives have gained visibility in conferences, university exhibitions, and collaborative events, where they are praised for addressing real-world challenges through scalable digital solutions.

🌱 Impact and Influence

Prof. Magnaye’s influence reaches far beyond the academic arena. His research and systems development projects have had measurable impact in:

  • Local agricultural communities by optimizing crop quality and yield through AI.

  • Small and medium enterprises (SMEs) by streamlining their operations using custom-built platforms.

  • Public service through IT awareness and digital security education in government institutions.

  • Education by incorporating cutting-edge technologies into the curriculum and providing students with hands-on, impactful projects.

His commitment to technological empowerment for underserved communities continues to inspire other researchers, educators, and local leaders who seek inclusive digital transformation.

🧭 Legacy and Future Contributions

Looking ahead, Prof. Magnaye is poised to leave a lasting legacy as a champion of socially relevant digital innovation in the Philippines. His ongoing doctoral studies will further sharpen his research acumen, equipping him to tackle more complex problems through interdisciplinary strategies. He is also expected to contribute to policy development, academic leadership, and broader national ICT frameworks that support agriculture, education, and sustainability.

In the years to come, his focus may expand to include smart technologies, data analytics, and IoT for environmental monitoring, resource management, and enhanced public service delivery.

His long-term vision reflects a commitment to bridging the digital divide, enabling rural and low-resource settings to benefit from the same technological advancements seen in urban centers. Prof. Magnaye is not just building systems — he is shaping a future where technology is accessible, equitable, and transformative for all.

✍️ Publication Top Notes


📘 Artificial intelligence (AI) on learning process

Author: SK Sopera, JS Alaban, Z Briones, NA Magnaye
Journal: Integrative Research
Year: 2023

📘 A case study of Windows 11 operating system for inexperienced users
Author: NA Magnaye
Journal: Intelligent Control and System Engineering
Year: 2023

📘E-Trading Application for Rice Farmers Using Waterfall Model Development: Basis for ICT Adoption by Filipino Farmers

Author: NA Magnaye
Journal: ISAR Journal of Economics and Business Management
Year: 2023

Abdulrahman Ahmed Al-Fakih | Renewable Energy Technologies | Best Researcher Award

Dr. Abdulrahman Ahmed Al-Fakih | Renewable Energy Technologies | Best Researcher Award

PhD Candidate at College of Petroleum Engineering and Geosciences, King Fahd university of Petroleum & Minerals, Saudi Arabia.

Abdulrahman Ahmed Al-Fakih is a leading researcher specializing in geothermal energy exploration and reservoir characterization, with a focus on applying machine learning techniques in the petroleum industry. His work encompasses a diverse array of topics, including the study of geothermal energy resources, reservoir property prediction, and the application of artificial intelligence in static formation temperature estimation. Through his numerous publications in reputable journals and conference proceedings, Abdulrahman has demonstrated a keen insight into leveraging advanced data analysis methods to enhance understanding and utilization of geothermal resources. He is recognized for his collaborative efforts and interdisciplinary approach, which have contributed significantly to advancing knowledge in geothermal energy exploration and reservoir characterization. Abdulrahman’s dedication to research excellence underscores his commitment to addressing critical challenges and driving innovation in the energy sector.

Professional Profiles:

Education

Abdulrahman Ahmed Al-Fakih is currently pursuing his Ph.D. at King Fahd University of Petroleum and Minerals in Dhahran, Saudi Arabia, from September 2021 to July 2025. His research focuses on the application of artificial intelligence in geophysics, petroleum, and geothermal fields. Prior to this, he obtained his Master’s degree in Energy Resources from the Department of Oil and Gas Fields Development Engineering at China University of Geosciences (Beijing), China, from September 2017 to July 2020. His master’s research centered on Geothermal Energy and Petroleum Engineering, alongside machine and deep learning. Abdulrahman holds a Bachelor’s degree in Petroleum Engineering from Hadhramout University of Science & Technology in Hadhramout, Yemen, which he completed between September 2007 and July 2012. His undergraduate studies covered various aspects of petroleum engineering, including drilling, directional drilling, mud logging, wireline, reservoir engineering, and production engineering. His educational journey began at AbdulNasser, Capital Trust Secondary School in Sana’a, Yemen, where he completed his high school education from September 2003 to July 2006, with a strong emphasis on foundational sciences and mathematics.

Professional Experience

Abdulrahman Ahmed Al-Fakih is currently a Teaching Assistant at King Fahd University of Petroleum and Minerals in Dhahran, where he has been assisting in geophysics courses since September 2021. Previously, he taught Arabic to bachelor’s and master’s students at Beijing Language and Culture University from 2016 to 2020. His industry experience includes internships at Weatherford Oil Tool Middle East Ltd. (2013-2014), where he worked on Tubular Running Services and Wireline Services, and Safer Exploration and Production Operation Company (SEPOC) (2014), where he gained experience in production and safety systems. Additionally, he interned at Calvalley Petroleum in Yemen (2012-2013), focusing on well-site and CPF operations, and at the Petroleum Exploration and Production Authority (PEPA) (2012-2014), training in exploration, drilling, reservoir engineering, and production operations. These experiences have honed his technical skills and adaptability in various practical environments.

Research Interest

Abdulrahman Ahmed Al-Fakih’s research interests focus on the intersection of artificial intelligence and geosciences. His work primarily involves the application of machine learning and deep learning techniques to geophysics, petroleum, and geothermal fields. Abdulrahman is dedicated to exploring innovative AI solutions for complex problems in these areas, leveraging his expertise to advance the understanding and efficiency of subsurface resource exploration and extraction. His research aims to enhance predictive models, optimize resource management, and improve the accuracy of geological and geophysical data interpretation. Through his contributions, he seeks to bridge the gap between cutting-edge technology and practical applications in energy resources and geophysical engineering.

Award and Honors

Abdulrahman Ahmed Al-Fakih has received several prestigious awards and honors throughout his academic and professional journey. In March 2023, he secured second place in the SPWLA Paper Contest, organized by SPWLA-KFUPM-Aramco RDD, recognizing his outstanding research presentation and paper submission. Demonstrating his leadership and community engagement, Abdulrahman was elected Vice-President of the Yemeni Students Union in Beijing, serving from December 2016 to December 2017. In March 2019, he showcased his research expertise by presenting on the Yemen-China Belt and Road Initiative and geothermal energy at the Seventh Annual Deep Geothermal Energy Conference in Beijing. Additionally, Abdulrahman excelled in the First Iranian Statistical Competition held in Tehran, Iran, in 2000. He achieved second place in the individual category for statistical software, highlighting his analytical skills, and also secured second place as part of a team, emphasizing his collaborative problem-solving abilities. These accolades underscore his commitment to excellence and his significant contributions to his field.

Research Skills

Abdulrahman Ahmed Al-Fakih is equipped with advanced research skills essential for his work in geophysics, petroleum, and geothermal energy. Proficient in machine learning and deep learning, he employs Python and MATLAB for data analysis and modeling. With strong analytical capabilities, Abdulrahman interprets complex datasets using geophysical and petroleum engineering software like Petrel and Eclipse. His adeptness in project management and teamwork ensures efficient collaboration and goal achievement. Known for his leadership and mentorship, he inspires others in their research pursuits. With a collaborative approach and commitment to excellence, Abdulrahman contributes significantly to advancing knowledge and innovation in his field.

Publications

  1. Study of geothermal energy resources of Yemen for electric power generation”
    • Authors: A. Al-Fakih, K. Li
    • Year: 2018
    • Citations: 7
  2. “Estimating electrical resistivity from logging data for oil wells using machine learning”
    • Authors: A. Al-Fakih, AF Ibrahim, S. Elkatatny, A. Abdulraheem
    • Year: 2023
    • Citations: 4
  3. “Estimation of bottom-hole temperature based on machine/deep learning”
    • Authors: A. Al-Fakih, KW Li
    • Year: 2021
    • Citations: 3
  4. “Application of Artificial Intelligence in static Formation temperature estimation”
    • Authors: A. Al-Fakih, S. Kaka
    • Year: 2023
    • Citations: 2
  5. “Reservoir Property Prediction in the North Sea Using Machine Learning”
    • Authors: A. Al-Fakih, S. Kaka, AI Koeshidayatullah
    • Year: 2023
    • Citations: 2
  6. “Neuro-Fuzzy Approach for Gas Compressibility Factor Prediction”
    • Authors: AA Al-Gathe, AM Al-Khudafi, A. Al-Fakih, AA Al-Wahbi
    • Year: 2021
    • Citations: 2
  7. “Exploring Machine Learning Techniques for Predicting Geothermal Temperature in Western Yemen”
    • Authors: SIK Abdulrahman Al-Fakih, Abbas Alkhudafi, A. Koeshidayatullah
    • Year: 2024
  8. “Deep Learning in Reservoir Characterization: a GAN-based Approach”
    • Authors: AAA Al-Fakih, S. Kaka, A. Koeshidayatullah
    • Year: 2024
  9. “Enhancing Geoscience Analysis: AI-Driven Imputation of Missing Data in Well Logging Using Generative Models”
    • Authors: A. Al-Fakih, A. Koeshidayatullah
    • Year: 2024
  10. “Unlocking the Potential of Geothermal Energy in Yemen: A Comparative Analysis with Global Trends”
    • Authors: A. Al-Fakih, A. Al-Khudafi
    • Year: 2024